Generates SVG from Plotly

README.md

@@ -128,19 +128,21 @@ relatively small changes to your code base.
 # Contributors
 
 Contributors are always welcome for finmarketpy, findatapy and chartpy. If you'd like to contribute, have a look at
-[Planned Features](https://github.com/cuemacro/finmarketpy/blob/master/PLANNED_FEATURES.md) for areas we're looking for help on. Or if you have any ideas for improvements
-to the libriares please let us know too!
+[Planned Features](https://github.com/cuemacro/finmarketpy/blob/master/PLANNED_FEATURES.md) for areas we're looking for help on. 
+Or if you have any ideas for improvements to the libriares please let us know too!
 
 # chartpy examples
 
 In chartpy/examples you will find several demos
 
-# Release Notes
+# Recent Release Notes
 
-* No formal releases yet
+* 02 Apr 2020 - v0.1.5
+* 23 Oct 2019 - v0.1.4 
 
 # Coding log
 
+* 02 Apr 2020 - Plotly can now produce SVG
 * 02 Nov 2019 - Now supports Plotly 4.x with Cufflinks 0.17)
 * 23 Oct 2019 - Added advisory on Plotly 3.10 and Cufflinks 0.16
 * 19 Aug 2019 - Removed .ix usage, which is now deprecated in Pandas

chartpy/engine.py

@@ -1804,10 +1804,13 @@ def publish_plot(self, fig, style):
  return plotly.io.to_image(fig, format='png') # PNG as bytes
 
  elif style.plotly_plot_mode == 'offline_image_png_in_html':
- # TODO also add Python 3 support for this
  return '<img src="data:image/png;base64,' + \
  base64.b64encode(plotly.io.to_image(fig, format='png')).decode(
  'utf8') + '">' # PNG as bytes in HTML image
+ elif style.plotly_plot_mode == 'offline_image_svg_in_html':
+ return '<img src="data:image/svg;base64,' + \
+ base64.b64encode(plotly.io.to_image(fig, format='svg')).decode(
+ 'utf8') + '">' # SVG as bytes in HTML image
 
  # can display in HTML as <img src="data:image/png;base64,[ENCODED STRING GOES HERE]">
 
@@ -1817,6 +1820,12 @@ def publish_plot(self, fig, style):
  py_offline.init_notebook_mode()
  py_offline.iplot(fig)
 
+ elif style.plotly_plot_mode == 'offline_jupyter_connected':
+
+ # plot in IPython notebook
+ py_offline.init_notebook_mode(connected=True)
+ py_offline.iplot(fig)
+
  # plotly.offline.plot(fig, filename=style.file_output, format='png',
  # width=style.width * style.scale_factor, height=style.height * style.scale_factor)
  elif style.plotly_plot_mode != 'dash':

setup.py

@@ -7,7 +7,7 @@
 also works well with Dash, plotly's web server library built on top of Flask."""
 
 setup(name='chartpy',
- version='0.1.4',
+ version='0.1.5',
  description='chartpy creates a simple easy to use API to plot in a number of great Python chart libraries',
  author='Saeed Amen',
  author_email='[email protected]',